Dr. Liang Han

Associate Professor

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Biography

Liang Han is an Associate Professor at the School of Biological Sciences at Georgia Institute of Technology. He specializes in neuroscience, particularly focusing on somatosensation, pain sensation, and itch sensation. His research employs a combination of molecular, cellular, immunohistochemical, electrophysiological, and genetic behavioral approaches to understand how the nervous system receives, transmits, and interprets stimuli that induce physiological and behavioral responses. Dr. Han is particularly interested in the fundamental mechanisms underlying somatosensation and has made significant contributions to identifying the molecular identity of itch-sensing neurons in the periphery, providing novel insights into the mechanisms of itch sensation. His work has broader implications, including the investigation of chronic itch associated with cutaneous and systemic disorders. He is also exploring the sensory innervation of the respiratory system, focusing on chronic respiratory diseases like asthma and chronic obstructive pulmonary disease. His research identifies specific subsets of vagal sensory neurons that mediate bronchoconstriction and airway hyperresponsiveness, contributing to our understanding of respiratory disease pathogenesis.

Research Interests

Courses

BIOL 8803 Frontier Molecular Cellular Biology NEUR 3001 Cell Molecular Neuroscience NEUR 4001 Research Project Lab NEUR 4803 Mechanisms Neurological Disorders

Requirements for Georgia Institute of Technology

Doctorate Program
Requirements
GPA Requirement
Required:3.5
TOEFL
Listening
Required:19
Reading
Required:19
Writing
Required:19
Speaking
Required:19
Total
Required:100
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:5.5
Speaking
Required:6.5
Overall
Required:7.5
Prerequisites
Undergraduate degree in computer science or related field
Application Checklist
  • Online application
  • Official transcripts
  • Three letters of recommendation
  • Statement of Purpose
Specialization Notes

Department of Computer Science: GRE scores are optional for Fall 2026.